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Chief Data Strategist

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Alwar, Rajasthan, India beBeeDataScience Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are seeking a highly experienced and visionary data science leader to shape our company's data science initiatives.

Job Description:

This role will be instrumental in defining our data strategy, driving innovation in AI/ML, and building scalable data solutions that directly impact business performance.

  • Data Strategy Development
    • Create and champion the company's data science vision and strategy, aligning it with business objectives.
    • Identify and prioritize high-impact data science projects that drive business value.
  • Architecture Design
    • Design and architect robust and scalable data platforms and solutions to support advanced analytics and AI/ML initiatives.
    • Evaluate and select appropriate technologies and tools to meet business needs.
  • Model Development & Innovation
    • Lead the development and implementation of advanced statistical and machine learning models to solve complex business problems.
    • Drive innovation by exploring and experimenting with new algorithms and techniques to stay ahead of the competition.
  • Data Exploration & Analysis
    • Lead data exploration and analysis efforts, identifying key insights and trends that can inform business decisions.
    • Develop data visualizations and dashboards to communicate findings effectively to stakeholders.
  • Mentorship & Team Leadership
    • Mentor and guide junior data scientists and engineers, fostering a culture of learning and growth within the team.
    • Provide technical leadership and direction on data science projects to ensure successful outcomes.
  • Cross-functional Collaboration
    • Collaborate closely with product managers, engineers, and business stakeholders to understand their needs and translate them into data-driven solutions.
    • Communicate complex technical concepts to non-technical audiences, ensuring effective communication and stakeholder buy-in.
  • Research & Development
    • Stay up-to-date with the latest advancements in data science, AI/ML, and related fields to identify opportunities for innovation.
    • Contribute to research and development efforts, exploring new methodologies and technologies to drive business growth.
  • Data Governance & Quality
    • Champion data governance and quality initiatives, ensuring data accuracy, consistency, and compliance across all systems.
    • Develop and implement data quality checks and validation procedures to maintain high data standards.
  • Thought Leadership
    • Represent the company at industry conferences, publish research papers, and contribute to the data science community to establish thought leadership.

Qualifications:

  • Education: Ph.D./Bachelor/Master's degree in Computer Science, Statistics, Mathematics, or a related field with a strong focus on data science and machine learning.
  • Experience: 12+ years of overall experience with minimum 8+years in data science, with a proven track record of developing and deploying successful AI/ML solutions.
  • Technical Skills:
  • Strong expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining techniques.
  • Proficiency in programming languages such as Python, R, or similar.
  • Experience with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (e.g., AWS, Azure, GCP).
  • Excellent skills in finding central tendency (mean, median, mode), variability (range, variance, standard deviation), distribution (frequency distributions, box plots etc.), probability, discrete and continuous distributions, linear algebra, gradient calculus, N Gram analysis of texts, trend analysis of text inputs, dimensionality reduction, feature extraction techniques like PCA, SVD, LDA.
  • Familiarity with data visualization tools & libraries (e.g., Tableau, Power BI, Plotly, Matplotlib, Seaborn, Vega-Lite). Drawing inferences from data visualization.
  • Experience with MLOps tools and practices is a plus.
  • Generative AI, transformer models, generative adversarial networks, fine-tuning large language models, re-inforcement learning, large language models powered applications, prompt engineering using chat GPT.

Business Acumen:

Strong understanding of business principles and the ability to translate business needs into data-driven solutions.

Communication Skills:

Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

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